Analysis of impedance based sensor to discover the invasive nature of A549 lung cancer cell

Rashid, Muhammad Mahbubur and Abd Razak, Mohamad Farhan and Hasan, Tahsin Fuad (2024) Analysis of impedance based sensor to discover the invasive nature of A549 lung cancer cell. Journal of Advanced Research in Applied Sciences and Engineering Technology, 41 (2). pp. 238-255. ISSN 2462-1943

	PDF - Published Version Restricted to Repository staff only Download (5MB) | Request a copy
Preview	PDF - Supplemental Material Download (175kB) | Preview

Abstract

Numerous studies have been conducted to investigate the effectiveness of impedancebased sensors in detecting the invasive behaviour of cancer cells, specifically through the use of Electric Cell-substrate Impedance Sensing (ECIS) methodology. However, the current equivalent circuit models used to represent the invasive nature of cancer cells have limitations and inaccuracies, and there has been a lack of utilization of mathematical and data analysis software to better understand the growth and invasive behaviour of these cells. To address these gaps, this research aims to measure the impedance of A549 lung cancer cells, develop a simplified equivalent circuit model, and analyse the results using mathematical and data analysis software. The invasive behaviour of A549 cells will first be studied through impedance measurements, and then a circuit model will be designed and simulated using software tools to reveal the true invasive nature of these cells. Finally, rigorous mathematical analysis and the use of suitable data analysis software (such as Matlab Powergui and Simulink, EIS Spectrum Analyzer, and Plotly) will be applied to gain a comprehensive understanding of the morphological behaviour of the cells. The experimental results of this research are expected to align with previous findings, and a quadratic equation will be derived to predict the body's resistance of the A549 lung cancer cell using mathematical and data analysis approaches.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Impedance based sensor; ECIS; Invasive nature; Equivalent circuit model; Lung cancer cell; Quadratic equation
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK452 Electric apparatus and materials. Electric circuits. Electric networks
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr Muhammad Rashid
Date Deposited:	26 Mar 2024 14:55
Last Modified:	13 Aug 2024 16:20
URI:	http://irep.iium.edu.my/id/eprint/111614

Actions (login required)

View Item